Passing Capacity Calculation Method for High-Speed Railway Hub Stations

To distinguish the capacity for each train path type, a multi-objective model is developed and solved using the NSGA-III algorithm. This approach optimizes the station capacity under various cross-line train ratios.

To promote transparency and reproducibility, we are releasing the data and code used in this study. The dataset includes detailed train schedules, station layouts, and operational parameters. The code, implemented in Python, comprises the multi-objective model and the NSGA-III algorithm, along with scripts for data preprocessing and result analysis.